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    Rights statement: This is an Accepted Manuscript of an article published by Taylor & Francis in International Journal of Production Research on 13/11/2017, available online: http://www.tandfonline.com/10.1080/00207543.2017.1401245

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    Available under license: CC BY-NC: Creative Commons Attribution-NonCommercial 4.0 International License

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On the Beat of the Drum: Improving the Flow Shop Performance of the Drum-Buffer-Rope Scheduling Mechanism

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Published
<mark>Journal publication date</mark>2018
<mark>Journal</mark>International Journal of Production Research
Issue number9
Volume56
Number of pages12
Pages (from-to)3294-3305
Publication StatusPublished
Early online date13/11/17
<mark>Original language</mark>English

Abstract

One of the main elements of the theory of constraints is its Drum–Buffer–Rope (DBR) scheduling (or release) mechanism that controls the release of jobs to the system. Jobs are not released directly to the shop floor – they are withheld in a backlog and released in accordance with the output rate of the bottleneck (i.e. the drum). The sequence in which jobs are considered for release from the backlog is determined by the schedule of the drum, which also determines in which order jobs are processed or dispatched on the shop floor. In the DBR literature, the focus is on the urgency of jobs and the same procedure is used both for backlog sequencing and dispatching. In this study, we explore the potential of using different combinations of rules for sequencing and dispatching to improve DBR performance. Based on controlled simulation experiments in a pure and general flow shop we demonstrate that, although the original procedure works well in a pure flow shop, it becomes dysfunctional in a general flow shop where job routings vary. Performance can be significantly enhanced by switching from a focus on urgency to a focus on the shortest bottleneck processing time during periods of high load.

Bibliographic note

This is an Accepted Manuscript of an article published by Taylor & Francis in International Journal of Production Research on 13/11/2017, available online: http://www.tandfonline.com/10.1080/00207543.2017.1401245